plotVarianceEstimates: Plot Variance Estimates
In GabrielHoffman/variancePartition: Quantify and interpret drivers of variation in multilevel gene expression experiments
View source: R/rdf_functions.R
plotVarianceEstimates R Documentation
Plot Variance Estimates
Description
Plot Variance Estimates
Usage
plotVarianceEstimates(
fit,
fitEB,
var_true = NULL,
xmax = quantile(fit$sigma^2, 0.999)
)
Arguments
fit
model fit from dream()
fitEB
model fit from eBayes()
var_true
array of true variance values from simulation (optional)
xmax
maximum value on the x-axis
GabrielHoffman/variancePartition documentation built on April 10, 2024, 5:01 a.m.
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View source: R/rdf_functions.R
| plotVarianceEstimates | R Documentation |
Plot Variance Estimates
Description
Plot Variance Estimates
Usage
plotVarianceEstimates(
fit,
fitEB,
var_true = NULL,
xmax = quantile(fit$sigma^2, 0.999)
)
Arguments
fit |
model fit from |
fitEB |
model fit from |
var_true |
array of true variance values from simulation (optional) |
xmax |
maximum value on the x-axis |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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